...Youngseo Park; Jihwan Park; Quang Dat Tran; Ikjin Lee; Gang-Won Jang This study presents a novel optimization-based synthesis framework for linkage mechanisms with a single degree of freedom. Current topology optimization-based mechanism synthesis methods often result in infeasible solutions due...

... to design a thermal–electrical camouflage device that can conceal a sensor while allowing it to remain functional. This study presents a method to simultaneously achieve sensing and camouflaging in multiphysical fields using topology optimization. Previous research has generally addressed...

..., conformal mapping to link local and global kinematics, and topology optimization for actuator design. The framework utilizes a unique strategy for employing optimized compliant actuators as the basic building blocks of the morphable surface. These actuators, designed as circular elements capable...

...Dingbiao Wang; Chongrui Yang; Guanghui Wang; Yi Li; Talib Dbouk The topology optimization (TO) method is developed and applied to 3D heat sink design optimization using the finite element method (FEM). To go from theory to practical application of optimized heat sink designs, the impact...

...Misato Kato; Taisei Kii; Kentaro Yaji; Kikuo Fujita The maximum stress minimization problem is among the most important topics for structural design. The conventional gradient-based topology optimization methods require transforming the original problem into a pseudo-problem by relaxation...

... in the complexity that must be managed in order to achieve a multi-lattice structure solution. However, there is a lack of design automation approaches that can tractably create multi-lattice structures. This article introduces an innovative multi-scale topology optimization (TO) framework, called multi-lattice...

...Ziyi Wang; Xueguan Song; Ziyun Kan Hybrid cellular automaton (HCA) method is a topology optimization method with high convergence efficiency. Harmonic response topology optimization problem has been widely researched and common frequency-domain methods have been applied to solve this problem...

... for manufacturing design of innovative devices design of machine elements design optimization design validation multidisciplinary design and optimization product design product family design structural optimization topology optimization user-centered design References [1...

... the hyperparameters of easily reproducible machine learning models including random forest, k-nearest neighbors, and deconvolutional neural network model for predicting the three optimal topology problems. We show that under both direct inverse design and when warm starting further topology optimization, using MSE...

... . 29 10 2023 25 05 2024 17 06 2024 19 07 2024 Graphical Abstract Figure life cycle analysis carbon footprint allocation low-carbon optimization design for the environment topology optimization National Natural Science Foundation of China 10.13039...

...Weisheng Zhang; Qi Lai; Xu Guo; Sung-Kie Youn This paper presents a new topology optimization scheme for the manufacturable piezoelectric energy harvesters (PEHs). Most of the existing topology optimization schemes for the design of PEHs are difficult to cope with manufacturing constraints...

... such that no isolated islands exist. Increasing an EAP’s performance using topology optimization while ensuring electrode connectivity is the goal of this work. A topology optimization formulation is introduced where electrode connectivity is ensured using the virtual temperature method. Numerical experiments...

...Nathan Hertlein; Kumar Vemaganti; Sam Anand Additive manufacturing (AM) has enabled the production of intricate lattice structures with excellent performance and minimal mass. Design approaches that consider static loading, including lattice-based topology optimization (TO), have been well...

...Taisei Kii; Kentaro Yaji; Kikuo Fujita; Zhenghui Sha; Carolyn Conner Seepersad Topology optimization is one of the most flexible structural optimization methodologies. However, in exchange for its high level of design freedom, typical topology optimization cannot avoid multimodality, where multiple...

... of multiscale systems topology optimization programmable Poisson's ratio periodic composite function National Natural Science Foundation of China 10.13039/501100001809 12102375 Natural Science Foundation of Fujian Province 10.13039/501100003392 2023J01045 Current advancements...

...Waheed B. Bello; Satya R. T. Peddada; Anurag Bhattacharyya; Lawrence E. Zeidner; James T. Allison; Kai A. James This article presents a novel three-dimensional topology optimization framework developed for 3D spatial packaging of interconnected systems using a geometric projection method (GPM...

...Joel Najmon; Andres Tovar Neural networks have gained popularity for modeling complex non-linear relationships. Their computational efficiency has led to their growing adoption in optimization methods, including topology optimization. Recently, there have been several contributions toward improving...

.... , Srinivasa , A. , Reddy , J. N. , and Dubrowski , A. , 2022 , “ Topology Optimization of Lightweight Structures With Application to Bone Scaffolds and 3D Printed Shoes for Diabetics ,” ASME J. Appl. Mech , 89 ( 4 ), p. 041009 . 10.1115/1.4053396 [26] Maharana , P. , Sonawane , J...

...Hongrui Chen; Aditya Joglekar; Levent Burak Kara We propose conditioning field initialization for neural network-based topology optimization. In this work, we focus on (1) improving upon existing neural network-based topology optimization and (2) demonstrating that using a prior initial field...

...Zhuo Huang; Ye Tian; Kang Yang; Tielin Shi; Qi Xia A shape and generalized topology optimization method based on the level set-based density method is proposed to design the curved grid stiffeners. The overall layout of the stiffeners is described by combining many single stiffeners, and each...